I’m Riccardo Montanelli Eccher, a Biomedical Engineer who combines data science, machine learning, and cloud deployment to translate biomedical data into actionable insights. My work spans pharmacokinetics in tumor environments, image processing for biomedical images, and scalable AI solutions hosted on Azure with containerized workflows. I enjoy turning complex medical datasets into reliable models and practical tools for researchers and clinicians. Beyond technical development, I’m passionate about mentoring and collaborating across disciplines to deliver end-to-end AI pipelines. I’m always learning—from Coursera deep learning specialization to hands-on projects in tissue classification reduction of false positives, and I relish applying these skills to healthcare and life sciences challenges while maintaining a user-focused, friendly approach.

Riccardo Montanelli Eccher

I’m Riccardo Montanelli Eccher, a Biomedical Engineer who combines data science, machine learning, and cloud deployment to translate biomedical data into actionable insights. My work spans pharmacokinetics in tumor environments, image processing for biomedical images, and scalable AI solutions hosted on Azure with containerized workflows. I enjoy turning complex medical datasets into reliable models and practical tools for researchers and clinicians. Beyond technical development, I’m passionate about mentoring and collaborating across disciplines to deliver end-to-end AI pipelines. I’m always learning—from Coursera deep learning specialization to hands-on projects in tissue classification reduction of false positives, and I relish applying these skills to healthcare and life sciences challenges while maintaining a user-focused, friendly approach.

Available to hire

I’m Riccardo Montanelli Eccher, a Biomedical Engineer who combines data science, machine learning, and cloud deployment to translate biomedical data into actionable insights. My work spans pharmacokinetics in tumor environments, image processing for biomedical images, and scalable AI solutions hosted on Azure with containerized workflows. I enjoy turning complex medical datasets into reliable models and practical tools for researchers and clinicians.

Beyond technical development, I’m passionate about mentoring and collaborating across disciplines to deliver end-to-end AI pipelines. I’m always learning—from Coursera deep learning specialization to hands-on projects in tissue classification reduction of false positives, and I relish applying these skills to healthcare and life sciences challenges while maintaining a user-focused, friendly approach.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Ind and Func AI Decision Science Analyst at Independent
July 1, 2024 - Present
Developed and deployed Artificial Intelligence solutions using Azure Machine Learning, Azure Functions, Docker containers, and Kubernetes; designed scalable architectures for cloud-based AI model deployment; used LangChain for orchestration of generative AI workflows; developed and integrated agents and copilots; built classification models with TensorFlow and PyTorch.
Waiter at Locanda Fonte allo Spino
July 1, 2016 - September 1, 2021
Customer management, setting up and reorganizing the dining area.
Assistente at Anima Fashion Group
August 1, 2016 - August 31, 2016
Secretarial tasks, appointment scheduling, and meeting organization.
Private Tutor at Self-employed
January 1, 2022 - September 30, 2022
Homework assistance from elementary to high school levels in scientific and computer-related subjects.
AI Decision Science Analyst
July 1, 2024 - Present
Developed and deployed Artificial Intelligence solutions using Azure Machine Learning, Azure Functions, Docker containers, and Kubernetes for scalable cloud-based AI model deployment. Leveraged Azure OpenAI and Azure AI Search for RAG workflows and used LangChain for orchestrating generative AI tasks. Built and integrated agents and copilots via Copilot Studio and Azure AI Foundry; implemented computer-vision-based classification models (TensorFlow, PyTorch).

Education

Master’s Degree in Biomedical Engineering at Politecnico di Milano
September 1, 2021 - April 30, 2024
Coursera Deep Learning Specialization at Coursera / DeepLearning.AI
January 1, 2024 - September 1, 2024
Bachelor’s Degree in Biomedical Engineering at Politecnico di Milano
September 1, 2018 - July 31, 2021
High School Diploma at Liceo Scientifico Castelnuovo
September 1, 2013 - July 31, 2018
High School Diploma at Liceo Scientifico Castelnuovo – Florence
September 1, 2013 - July 31, 2018
Bachelor’s Degree in Biomedical Engineering at Politecnico – Milan
September 1, 2018 - July 31, 2021
Master’s Degree in Biomedical Engineering at Politecnico – Milan
September 1, 2021 - April 30, 2024
Deep Learning Specialization at Coursera – DeepLearning.AI
January 1, 2024 - September 30, 2024

Qualifications

Deep Learning Specialization (Coursera – DeepLearning.AI)
January 1, 2024 - September 30, 2024

Industry Experience

Software & Internet, Healthcare, Life Sciences, Professional Services, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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